Our paper entitled “SVIRO: Synthetic Vehicle Interior Rear Seat Occupancy Dataset and Benchmark” has been accepted for publication at IEEE Winter Conference on Applications of Computer Vision (WACV 2020). This paper gives a detailed overview about SVIRO, some baseline investigations to highlight the challenging conditions of our dataset and some results on real images to show that insights on SVIRO are transferable to real images. This launches the release of the dataset and start of the public benchmark.
We presented an extended abstract entitled “An Overview of the SVIRO Dataset and Benchmark” at the ACM Computer Science in Cars Symposium (CSCS 2019) held at the DFKI in Kaiserslautern in October. This work gives a short introduction about our dataset and the problem statement we want to investigate. The full paper is accepted at IEEE WACV 2020.